Summarizing Product Aspects from Massive Online Review with Word Representation. - Kai Ye; Liangqiang Li; Mengzhuo Guo; Yu Qian; Hua Yuan (KSEM, 2015)

An interpretable machine learning framework for modelling human decision behavior. - Mengzhuo Guo; Qingpeng Zhang; Xiuwu Liao; Youhua Chen (CoRR, 2019)

Explainable Ordinal Factorization Model: Deciphering the Effects of Attributes by Piece-wise Linear Approximation. - Mengzhuo Guo; Zhongzhi Xu; Qingpeng Zhang; Xiuwu Liao; Jiapeng Liu (CoRR, 2019)

A progressive sorting approach for multiple criteria decision aiding in the presence of non-monotonic preferences. - Mengzhuo Guo; Xiuwu Liao; Jiapeng Liu (Expert Syst. Appl., 2019)

An interpretable neural network model through piecewise linear approximation. - Mengzhuo Guo; Qingpeng Zhang; Xiuwu Liao; Daniel Dajun Zeng (CoRR, 2020)

An Actor-critic Reinforcement Learning Model for Optimal Bidding in Online Display Advertising. - Congde Yuan; Mengzhuo Guo; Chaoneng Xiang; Shuangyang Wang; Guoqing Song; Qingpeng Zhang (CIKM, 2022)

Deciphering Feature Effects on Decision-Making in Ordinal Regression Problems: An Explainable Ordinal Factorization Model. - Mengzhuo Guo; Zhongzhi Xu; Qingpeng Zhang; Xiuwu Liao; Jiapeng Liu (ACM Trans. Knowl. Discov. Data, 2022)

Data-driven Preference Learning Methods for Multiple Criteria Sorting with Temporal Criteria. - Yijun Li; Mengzhuo Guo; Qingpeng Zhang (CoRR, 2023)

A Bayesian Multi-Armed Bandit Algorithm for Bid Shading in Online Display Advertising. - Mengzhuo Guo; Wuqi Zhang; Congde Yuan; Binfeng Jia; Guoqing Song; Hua Hua; Shuangyang Wang; Qingpeng Zhang (CIKM, 2024)

Improving Zero-Shot Stance Detection by Infusing Knowledge from Large Language Models. - Mengzhuo Guo; Xiaorui Jiang; Yong Liao (ICIC (13), 2024)

Data-driven preference learning methods for sorting problems with multiple temporal criteria. - Yijun Li 005; Mengzhuo Guo; Milosz Kadzinski; Qingpeng Zhang; Chenxi Xu (Eur. J. Oper. Res., 2025)

Enhancing decision support for type 2 diabetes mellitus comorbidity risk prediction: An end-to-end multi-task learning model. - Jianjin Yue; Li Luo 001; Mengzhuo Guo; Chenxi Xu (Expert Syst. Appl., 2025)

An Interpretable Deep Learning-based Model for Decision-making through Piecewise Linear Approximation. - Mengzhuo Guo; Qingpeng Zhang; Daniel Dajun Zeng (ACM Trans. Knowl. Discov. Data, 2025)

HIT Model: A Hierarchical Interaction-Enhanced Two-Tower Model for Pre-Ranking Systems. - Haoqiang Yang; Congde Yuan; Kun Bai; Mengzhuo Guo; Wei Yang; Chao Zhou (CoRR, 2025)